class_docstr: Text Processor class implement NER, POS tag, lexical tree parsing.
  EnProcessor is designed by single instance mode.
code: def normalize_pos(pos):
      if pos in ["a", "r", "n", "v", "s"]:
          pp = pos
      else:
          if pos[:2] == "JJ":
              pp = "a"
          elif pos[:2] == "VB":
              pp = "v"
          elif pos[:2] == "NN":
              pp = "n"
          elif pos[:2] == "RB":
              pp = "r"
          else:
              pp = None
  
      return pp
  
imports: import re
  import nltk
  import spacy
  import threading
  from functools import reduce
  from spacy.tokens import Doc
  from .nltk_res_load import *
  from ..settings import *
label_desc: Use image node_id 21 for calling the EnProcessor obj's underlying member method code with example usage: obj.normalize_pos(pos) and returns: pp